Files
deepseek-harness/docs/rfc/implemented/feature/2026-06-21-subagent-capability-seam.md
T
Tianyi Cui e6fad266a6 docs(rfc): define and enforce a uniform RFC format; adopt it across the corpus
Define the in-file RFC contract in docs/rfc/README.md § The file format:
the header block (`# RFC: <title>` plus a dateless Status enum
cross-checked against the lifecycle folder), the per-lifecycle body
skeleton (a Problem opener everywhere; Proposal/Alternatives considered/
Acceptance criteria/Risks in proposed/; present-tense Decision/
Consequences with proposal-era headings banned in implemented/; the
frozen proposal shape in rejected/), and a mandatory Alternatives
considered section with a date-fenced grandfather comment for pre-format
RFCs whose alternatives are not reconstructible from the record.

Enforce it with a new doc-sync gate, scripts/verify-rfc-format.ts, and
normalize all 112 RFCs to it: ~15 Status-line spellings collapse to the
enum, 29 Context openers become Problem, the 39 legacy-format XXX debt
markers are resolved and banned from reappearing, proposal-era sections
in implemented RFCs are rewritten to shipped reality (including the
web/fs/subagent seam RFCs' migration plans and test checklists, closing
the doc-tiers deferred-work item on the web seam), every RFC gains an
Alternatives considered section or the grandfather comment, and the
bilingual pair is re-mirrored and re-recorded.

Move the generated index tables out of README.md into a fully generated
docs/rfc/INDEX.md — gen-rfc-index now writes the whole file, and
verify-rfc-classification checks its freshness and rejects index-shaped
rows in the curated README — which makes room for the format contract to
live in the README front door instead of a separate FORMAT.md.

The decision record, and the first RFC written in the new format, is
docs/rfc/implemented/process/2026-07-05-uniform-rfc-format.md.
2026-07-05 22:58:25 +08:00

10 KiB

RFC: Subagent capability seam

Status: implemented

The full seam is shipped: the dsh-subagent interface, the dsh-subagent-mock test backend, and the dsh-tool-subagent consumer; the two in-process backends (dsh-subagent-spawn, dsh-subagent-fork); the nested-agent snapshot infrastructure (per-session snapshot replay); and the out-of-process dsh-subagent-acp backend (its RFC).

Problem

The harness has a long-deferred seam for subagents — an agent delegating work to another agent. The intent was sketched in the Agent/AgentLoop interfaces (packages/core/agent/src/types.ts, packages/core/agent-loop/src/index.ts): a creation option referencing a parent agent (fork = seed the child session with the parent's event log; spawn = fresh session), with the child returned as an Agent handle so steering and event subscription work uniformly. This RFC realizes that seam; the banner above lists what shipped.

The distinctive requirement — the one that shapes the whole design — is that multiple subagent implementations must coexist at runtime. A parent may want a cheap in-process child for a scoped subtask AND an isolated out-of-process child (over ACP) in the same session. The transports we foresee:

  • in-process — a child ReactLoopAgent on the same Context (the cheapest, and nearly free given the existing agent factory);
  • ACP — act as an ACP client driving another agent process (which can be another instance of ourselves);
  • later: A2A, the Codex app-server, and the Claude Code Agent SDK — each the same out-of-process "start a child, prompt it, stream updates, cancel" shape as the ACP backend.

Alternatives considered

Why not the bash seam shape

The bash seam (capability seams) registers exactly one BashExecutor per context; loading a second throws. That is correct for bash (one machine, one way to run a command) but wrong here: coexistence is the requirement. So the subagent service is a named-provider registry — each implementation registers under a unique name and a caller picks one by name — mirroring the LLM adapter registry (LlmService.registerAdapter), not the single-service bash executor. The seam is still three-package (interface / implementation / consumer); only the "one vs. many implementations" axis differs.

Decision

The three-package seam

A new package group packages/subagent/:

Package Role
@deepseek-ai/dsh-subagent interface: SubagentService (ctx.subagents), SubagentProvider, SubagentRun, the request/result/capability vocabulary, the subagent/* events
@deepseek-ai/dsh-subagent-spawn implementation: a fresh in-process child via ctx.agents.create
@deepseek-ai/dsh-subagent-fork implementation: an in-process child seeded with a snapshot of the parent's log
@deepseek-ai/dsh-subagent-acp implementation: an ACP client driving a configured child process
@deepseek-ai/dsh-subagent-mock support: a scripted provider for testing the seam through the real load path
@deepseek-ai/dsh-tool-subagent consumer: the model-facing subagent tool over ctx.subagents

The primitive: start → SubagentRun

A provider exposes start(request) → SubagentRun. The run carries a result promise (the terminal SubagentResult), cancel(), and dispose(). The transport-neutral verb is start; "spawn" is reserved for the in-process dsh-subagent-spawn backend's identity, not the service verb. The service's start(name, request) resolves the named provider, validates capabilities, delegates, and emits subagent/start / subagent/end around the run.

Two kinds of optional capability, discovered two ways

  • Start-time features (outputSchema, depthLimit, toolFilter) ride on a static provider.capabilities descriptor. The service checks every requested one BEFORE delegating and rejects loud (SubagentError('UNSUPPORTED_CAPABILITY')) if the provider lacks it — never accepted-then-ignored. They must be checked before a run exists, which is why they cannot be runtime methods.
  • Runtime features (steering via sendMessage, follow-up via resume) are optional methods on SubagentRun. The method's presence IS the capability, and TypeScript narrowing is the discovery mechanism: a consumer cannot call an absent method without narrowing first, so there is no silent-degradation path and no separate flags object to keep in sync.

Fork vs. fresh are separate backends, not a flag

Rather than a context: 'fresh' | 'fork' request field, the distinction is the provider's identity: dsh-subagent-spawn (fresh, isolated, own system prompt) and dsh-subagent-fork (seeded from the parent's log) are two registered providers. You pick behavior by picking a provider — consistent with the registry being the selection mechanism. The fork backend seeds only a balanced, completed-turn prefix of the parent log: at tool-execute time the parent's turn is open (it holds the assistant/message and the dangling spawn tool/call with no tool/result), and seeding that raw prefix would give the child an unbalanced turn the invariants freeze-check rejects.

Child isolation and the parent log

Each subagent runs in its own Session (own id, parentSession lineage), persisted independently. The parent's log records only the spawn tool/call and its tool/result (the child's final output) — the child's internal steps and tool calls stay in the child's own session, never injected into the parent log. This is the only design that is identical across transports: an ACP child's internal events physically cannot be injected into our parent log, so making in-process behave the same keeps the seam transport-agnostic.

Synchronous collect (first cut)

The dsh-tool-subagent consumer awaits run.result and returns the child's final output as the tool result, blocking the parent's turn until the child finishes. It does so inside a try/finally that always dispose()s the run (no leaked idle child/session on any path), bridges exec.signal to run.cancel(), and maps a non-completed stop reason to an isError result rather than returning partial output as success. Steering (sendMessage) is part of the contract but intentionally unused this cut.

Provider selection is config, not model-facing

dsh-tool-subagent binds to exactly one provider name (Config.provider); the model sees only { description, prompt }. To expose more than one transport, load the tool plugin more than once, each bound to a different provider and a distinct toolName (the tool registry rejects a duplicate name). The service holds the multi-provider registry; the tool picks one — no provider/type parameter in the schema this cut.

Testing

The seam is tested through the real cordis Loader / export path, not a hand-built ctx.plugin mount (which bypasses unwrapExports and cannot catch a broken export shape — postmortem 0001); the registry pins HMR-safety, duplicate-name rejection, and start-time capability rejection; the nested-agent snapshot scenarios replay keyless in the default gate (per-session snapshot replay); in-process backends carry real-loop unit tests plus a with-key e2e.

Consequences

  • Recursion. Without a guard, an in-process child inherits the spawn tool and can spawn unboundedly. Depth-limit is an optional capability (the in-process backends enforce it; ACP advertises it off and rejects a maxDepth request); tool-filtering is likewise optional. Tool-filtering, when implemented, needs a tools/pre-execute deny in the child context — schema filtering alone is insufficient because a model can hallucinate a denied tool name.
  • Blocking the parent turn. Synchronous collect holds the parent's runStep open for the child's full duration. This is acceptable for the first cut; background / poll / spill semantics are deferred to a future redesign that unifies long-running-tool handling across subagents AND bash (a sub-agent and a long bash background task pose the same "the model started something slow, how does it collect later" problem, and should share one mechanism rather than each inventing its own).
  • Live progress. This cut surfaces only lifecycle + final result; a per-chunk child→parent update stream is deferred with the background redesign.
  • ACP client surface. Proxying fs/terminal from the ACP child back to the parent (a shared-workspace mode) is future work; the first cut advertises neither, so the child self-serves in its own process.
  • Snapshot coverage of nested agents. The snapshot tier (pnpm run test:snapshot) replays a recorded session through dsh-llm-replay. It was built single-session: a single GLOBAL positional cursor (the Nth llm/stream call serves the Nth recorded entry) and a harness that harvested a single session log file. A subagent runs as a second agent with its own session log, so a parent→child scenario needed per-session-keyed replay plus harvest-all-logs and plural-session-id plumbing — self-contained infrastructure orthogonal to the backends, scheduled as a dedicated stacked follow-up rather than folded into the in-process-backends PR. That follow-up has landed: see Per-session snapshot replay for nested agents. Replay now keys each call by its calling session (GenerateOptions.sessionId) and binds live sessions to recorded scripts by first-call order; the harness harvests every log; and two nested scenarios (subagent-spawn, subagent-multi) replay keyless in the default gate. In-process subagents remain covered by real-loop unit tests and a with-key e2e in addition to the snapshot tier.